Davide Nadalini
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it
- Artificial Intelligence — 17 citations into it
- Meta & Continual Learning — 10 citations into it
Whom Davide Nadalini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Davide Nadalini's perspective
Ordered by how strongly the researchers Davide Nadalini trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays (2021) — 94 citations